Work closely with data science teams to deploy generative AI and analytics models into production
Operate within a DevOps framework
Expand use of Azure Machine Learning for GenAI use cases
Contribute across the full development lifecycle
Deliver sustainable, high-quality solutions

Requirements

3+ years' experience as a technical data specialist (ML engineer, data engineer, or data scientist)
Strong team player
Entrepreneurial, analytical, and pragmatic mindset
Solid experience with Microsoft Azure
Experience with Databricks
Proficient in Python and PySpark
Experience with Git
Experience building and maintaining CI/CD pipelines
Familiarity with Python libraries such as scikit-learn, pandas, and MLflow
Experience with SQL or PySpark for data querying
Experience with Azure Machine Learning
Experience building data pipelines with Airflow or Databricks Pipelines
Agile/Scrum experience is a plus

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonPySparkSQLDatabricksAzure Machine LearningCI/CD pipelinesAirflowscikit-learnpandasMLflow

Soft Skills

team playerentrepreneurial mindsetanalytical mindsetpragmatic mindset